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QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.
<think> tokens)<|im_start|>system
{{system_message}}<|im_end|>
<|im_start|>user
{{prompt}}<|im_end|>
<|im_start|>assistant
<think>
llama-gguf-split command that comes included when you build llama.cpp & its examples.1# from your llama.cpp directory:
2$ cmake -B build
3$ cmake --build build --config Release
4$ ./build/bin/llama-gguf-split --merge \
5 ~/Downloads/qwq-32b.f16.split-00001-of-00002.gguf \
6 ~/Downloads/qwq-32b.f16.gguf

